Title: Investigating the use of fuzzy systems in managing carbon emissions and sinks in rural areas

Authors: Xu Fang

Addresses: Department of International Economy and Trade, School of Economics, Tongling University, Tongling, 244000, China

Abstract: To get to carbon peaks and neutrality, it is essential to have a better idea of how area carbon pollution and a low-carbon economy work in time and place. From 2015 to 2022, Sichuan Province's carbon emissions were found by dividing them into four main categories: energy use, industry output, forest activity, and garbage release. They also observed at how it changed over time and found the primary sources of carbon pollution. The super-SBM-undesirable model checked how low-carbon efficient Sichuan Province and its 21 towns were. The most significant source of carbon pollution in the area was energy use, especially power plants and energy centres for factories.

Keywords: temporal and spatial distribution; carbon emissions; low-carbon efficiency; Sichuan province; inventory accounting method; super-SBM-undesirable model.

DOI: 10.1504/IJGW.2025.146655

International Journal of Global Warming, 2025 Vol.36 No.3, pp.211 - 228

Received: 11 Oct 2024
Accepted: 04 Jan 2025
Published online: 11 Jun 2025 *

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